Diego Luiz de Mattos

University of Minho

Papers

3

Total Citations

19

H-Index

2

About

Diego Luiz de Mattos is a leading researcher at the intersection of industrial engineering, ergonomics, and robotics, with a primary focus on **human-robot collaboration (HRC)** in manufacturing environments. His work addresses the critical challenge of designing workstations that simultaneously enhance worker safety and operational productivity. Mattos’s major contribution lies in developing **system dynamics modeling frameworks** that simulate the complex, non-linear interactions between human factors and robotic systems. His most cited paper (14 citations) provides a decision-making framework for implementing safer HRC workstations, specifically targeting the reduction of Work-related Musculoskeletal Disorders (WMSD) while maintaining efficiency. Through detailed case studies, including an assembly workstation simulation, he has demonstrated how computational models can predict ergonomic risks and productivity outcomes before physical implementation. Though his publication record is emerging, his work is foundational for engineers and safety professionals seeking evidence-based strategies to integrate collaborative robots without compromising human well-being. Mattos’s research is particularly notable for bridging the gap between theoretical modeling and practical industrial application, offering a replicable methodology for optimizing the human-robot partnership in modern factories.

Research Focus

Key Achievements

2
H-Index
3
Papers
19
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Decision-Making Framework for Implementing Safer Human-Robot Collaboration Workstations: System Dynamics Modeling
14 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Minho

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago